Triple
T4438075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai Rapid Link consortium |
E95699
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Aktor
Aktor is a construction and engineering company known for participating in major international infrastructure projects.
|
E440299
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Aktor | Statement: [Dubai Rapid Link consortium, hasMember, Aktor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aktor Context triple: [Dubai Rapid Link consortium, hasMember, Aktor]
-
A.
Romany Malco
Romany Malco is an American actor and comedian best known for his roles in films like "The 40-Year-Old Virgin" and the TV series "A Million Little Things."
-
B.
Theron
Theron is a surname of Greek origin that has been borne by various notable individuals, including actors, athletes, and public figures.
-
C.
Anton Lesser
Anton Lesser is a British actor known for his work in film, television, and theatre, including notable roles in series such as "Game of Thrones," "Endeavour," and "The Crown."
-
D.
Peter Facinelli
Peter Facinelli is an American actor best known for playing Dr. Carlisle Cullen in the Twilight film series.
-
E.
Brolin
Brolin is a surname most prominently associated with American actor Josh Brolin and his family.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aktor Triple: [Dubai Rapid Link consortium, hasMember, Aktor]
Generated description
Aktor is a construction and engineering company known for participating in major international infrastructure projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aktor Target entity description: Aktor is a construction and engineering company known for participating in major international infrastructure projects.
-
A.
Romany Malco
Romany Malco is an American actor and comedian best known for his roles in films like "The 40-Year-Old Virgin" and the TV series "A Million Little Things."
-
B.
Theron
Theron is a surname of Greek origin that has been borne by various notable individuals, including actors, athletes, and public figures.
-
C.
Anton Lesser
Anton Lesser is a British actor known for his work in film, television, and theatre, including notable roles in series such as "Game of Thrones," "Endeavour," and "The Crown."
-
D.
Peter Facinelli
Peter Facinelli is an American actor best known for playing Dr. Carlisle Cullen in the Twilight film series.
-
E.
Brolin
Brolin is a surname most prominently associated with American actor Josh Brolin and his family.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3558c75948190875a5fb10eac0597 |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6137960908190814cbdf0b4e56542 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b61439a86c8190849c5af718ddc647 |
completed | March 15, 2026, 2:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b614d6106c81908a601f540622f934 |
completed | March 15, 2026, 2:09 a.m. |
Created at: March 12, 2026, 11:31 p.m.